Finance Systems Engineer Finance and Strategy

AI safety and research company building reliable, interpretable, and steerable AI systems, including the Claude product family and developer platform.

Series F+Recently funded0 current maintainers0 active leadsTeam intelligence

Maintainer signals as of 9/24/2026

San Francisco, United States
About Anthropic

Anthropic PBC develops frontier AI systems and deploys them through Claude products and the Claude Platform, with a stated focus on safety, interpretability, and steerability.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will administer and enhance finance systems for planning, forecasting, analytics, and reporting. You will build financial models, workflows, integrations, SQL data models, ETL pipelines, and validation controls. You will support forecasting cycles, resolve system and data issues, improve processes, and train system users.

Requirements

  • 8+ years of FP&A systems experience
  • Experience administering and developing enterprise planning platforms such as Pigment, Anaplan, or Adaptive Planning
  • Advanced SQL and data-modeling skills
  • Experience building system integrations and data pipelines
  • Ability to translate business requirements into technical specifications and system designs
  • Understanding of FP&A processes, financial reporting, and accounting principles

Responsibilities

  • Administer the Pigment financial-planning platform
  • Manage finance applications, data, user access, security, configurations, and version management
  • Provide technical support and troubleshoot system issues
  • Build financial models and workflows for planning, budgeting, forecasting, and reporting
  • Develop secure REST API integrations and dataflows
  • Develop SQL data models, ETL pipelines, and reporting infrastructure
  • Support forecasting, annual planning, workforce planning, OPEX forecasting, and cash-flow forecasting
  • Ensure financial-data accuracy and integrity
  • Develop data-validation rules and quality checks
  • Support data migrations and user training

Benefits

  • Optional equity donation matching
  • Generous vacation
  • Parental leave
  • Flexible working hours